The application of this technology has the potential to deliver quality, cost-effectiveness, and speed, as long as it focuses on addressing real customer problems and not adopting solutions themselves.
Julián Colombo*
Generative AI is transforming analytics and decision-making in the financial sector like never before. This technology makes it possible for banks, fintechs, traders and insurers to be able to analyze huge amounts of historical data, in real time, to find patterns and trends hidden in plain sight and improve predictability in a volatile market.
The rise of generative AI is driving the development of new financial services by facilitating innovation and adapting to market demands. The power of this technology is fueling an increasingly widespread trend in the financial sector: hyper-personalization.
According to a survey on the financial sector carried out in 2022 by the consulting firm Gartner, 80% of the CFOs of the companies consulted said that they expect to spend more on artificial intelligence over the next two years, although two-thirds of those surveyed considered that their function will be automated within six years. In other words, the implementation of AI is an investment through which companies expect to have a return in the medium and long term.
According to the study, in order for managers’ decisions to be successful, it will be essential for leaders to apply AI by clearly understanding where it will have an impact: operating expenses, capital, etc. The future of this tool is encouraging, but there are still some application issues to take into account such as biases, the reliability of the results, information security, data sovereignty and professional capabilities.
Hyper-personalization of services
The emergence of generative AI and the demand for increasingly personalized products in the financial industry is a trend that forces tech companies like N5 to constantly improve their products and services.
Companies in the financial sector seek advice and guidance from trusted and experienced experts, and each client has unique needs and specific investment objectives, and generative AI makes it possible to offer a more personalized solution tailored to the needs of each organization.
Through data analysis and evaluation of investment profiles, AI can provide personalized recommendations and strategies for each client. Not only can this technology improve communication between companies and their customers, such as through chatbots that offer quick answers to queries anywhere, anytime, but it also opens up the possibility of providing better financial education through personalized and educational content that empowers customers and helps them make more informed and conscious decisions.
AI has also improved the security and protection of customer data. With advanced systems, users can ensure the privacy and confidentiality of their customers’ financial information. This creates an environment of trust and transparency, essential for building long-lasting relationships with customers.
AI as a Financial Advisor
AI is like having a virtual financial advisor who is always available and ready to provide you with the best investment option for your specific needs, although implementation is not a substitute for human intuition and expertise. The main challenges to implementing solutions with AI include areas such as data security, resistance to change, integration with existing systems, and the need for specialized skills in the organization.
The application of AI has the potential to deliver quality, cost-effectiveness, and speed, as long as it focuses on addressing real customer problems and not just adopting technological solutions themselves.
*CEO and founder of N5, a software company for the financial industry and open finance.
